A ZUPT method based on SVM regression curve fitting for SINS

Xiaofang Li*, Ling Xie, Jiabin Chen, Yongqiang Han, Chunlei Song

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Citations (Scopus)

Abstract

Zero velocity update (ZUPT) is an important error control method for strap-down inertial navigation system (SINS). Conic fitting as a frequently-used ZUPT method is simple and effective, but makes low use of the velocity samples gained during the stops of SINS, and requires SINS to stop frequently. In order to solve these problems, a new ZUPT method based on support vector machine (SVM) regression curve fitting for SINS is proposed. The simulation results demonstrate that the new ZUPT method can improve the positioning accuracy and maneuverability of SINS, and has high robustness compared with conic fitting.

Original languageEnglish
Title of host publicationProceedings of the 33rd Chinese Control Conference, CCC 2014
EditorsShengyuan Xu, Qianchuan Zhao
PublisherIEEE Computer Society
Pages754-757
Number of pages4
ISBN (Electronic)9789881563842
DOIs
Publication statusPublished - 11 Sept 2014
EventProceedings of the 33rd Chinese Control Conference, CCC 2014 - Nanjing, China
Duration: 28 Jul 201430 Jul 2014

Publication series

NameProceedings of the 33rd Chinese Control Conference, CCC 2014
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

ConferenceProceedings of the 33rd Chinese Control Conference, CCC 2014
Country/TerritoryChina
CityNanjing
Period28/07/1430/07/14

Keywords

  • SINS
  • SVM regression
  • ZUPT
  • curve fitting

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